Whisper Paper Explained: Robust Speech Recognition via Large-Scale Weak Supervision
Skills:
Unsupervised Learning80%ML Maths Basics70%Supervised Learning60%CV Basics50%Modern CV Models50%
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In this video we walk through the paper Robust Speech Recognition via Large-Scale Weak Supervision, or known as Whisper. The paper brought state of the art results in speech recognition with open source code and weights. You can take a look at the official GitHub repository: https://github.com/openai/whisper. Let me know if a walkthrough on how to use Whisper would be interesting, although there are many other videos on this.
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Timestamps:
0:00 - Introduction
1:27 - Abstract
2:30 - Introduction
8:02 - Dataset collection and processing
10:29 - Model approach
15:25 - Figure of model
20:25 - Experiments and Evaluation
26:17 - Long form transcription, messy :/
28:36 - Model and Dataset scaling
31:25 - Long form transcription (cont), messy :/
32:32 - Ending
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Chapters (11)
Introduction
1:27
Abstract
2:30
Introduction
8:02
Dataset collection and processing
10:29
Model approach
15:25
Figure of model
20:25
Experiments and Evaluation
26:17
Long form transcription, messy :/
28:36
Model and Dataset scaling
31:25
Long form transcription (cont), messy :/
32:32
Ending
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